launch-rollout-patterns

Plan a phased rollout by defining Phase 0 through Phase 4 with specific targets, durations, and exit conditions for safe exposure. This structured approach ensures gradual deployment and minimizes full-scale incidents.

Canary deployments route a small percentage of traffic to a new feature to test stability before full release. Rollback thresholds automatically disable the deployment if error rates or performance metrics exceed predefined safe limits.

Feature flags control percentage rollouts and cohort targeting by toggling exposure without code changes. They support geographic segmentation and sunset rules to minimize risk and manage multi-phase exposure safely.

Define automatic rollback triggers using specific error rate or latency thresholds, and manual triggers for subjective quality issues. Both procedures must outline clear steps to disable flags and revert state changes.

Geographic segmentation is needed when releasing features to specific regional markets or when validating localized performance. It allows you to isolate impact and define targeted success criteria before expanding globally.

Yes, this approach explicitly supports multi-phase exposure by defining clear targets, durations, and exit conditions for each phase. It ensures safe exposure progression and provides structured rollback procedures if criteria fail.